• 제목/요약/키워드: calibration plot

검색결과 56건 처리시간 0.019초

측정 시스템 분석 모형의 고찰 및 새로운 모형의 제안 (Review and Suggestions of Models for Measurement System Analysis)

  • 최성운
    • 대한안전경영과학회지
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    • 제10권1호
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    • pp.191-195
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    • 2008
  • The present study contributes reviewing and suggesting various models for measurement system analysis (MSA). Measurement errors consist of accuracy, linearity, stability, part precision, repeatability and reproducibility (R&R). First, the major content presents split-plot design, and the combination method of crossed and nested design for obtaining gage R&R. Second, we propose $\bar{x}-s$ variable control chart for calculating the gage R&R and number of distinct category. Lastly, investigating the determination of gage performance curve which establishes the control specification propagating calibration uncertainties and measurement errors is described.

K-DRUM 개선을 위한 초기토양함수 자동보정기법 개발 (A Development of Auto-Calibration for Initial Soil Condition in K-DRUM Model)

  • 박진혁;허영택
    • 대한공간정보학회지
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    • 제17권2호
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    • pp.71-79
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    • 2009
  • 본 연구에서는 격자강우량과 격자기반의 GIS수문 매개변수와 연계하여 홍수기 유출량의 시공간적 분포를 파악할 수 있도록 물리적인 운동파 이론에 근거한 분포형 강우-유출모형인 K-DRUM을 자체 개발하였다. 이 모형은 홍수 기동안의 지표흐름과 지표하 흐름의 시간적 변화와 공간적 분포를 모의할 수 있으며, 전처리과정으로서 ArcView 를 이용하여 모형에 필요한 ASCII형태의 입력 매개변수 자료들을 가공하였다. 또한 후처리과정으로서 모형의 수행결과인 유역내의 유출량 분포 등을 GIS상에서 나타낼 수 있도록 ASCII형태로 출력하도록 구성하였으며 TecPlot 을 이용하여 유출량을 에니메이션으로 표현하였다. 또한, 유출량에 가장 큰 영향을 미치는 초기토양함수 상태에 대한 자동보정기법을 추가 개발하였으며, 남강댐유역을 대상으로 기저유출해석을 수행하여 개발된 자동보정기법의 활용가능성을 검토하였다. K-DRUM모형의 초기토양함수조건을 설정하는데 있어서 자동보정기법을 적용함으로써 기존의 시행착오법으로 인해 소요되는 시간과 부정확한 설정으로 발생될 수 있는 문제점을 해결할 수 있었다.

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Cox 비례위험모형을 이용한 우측 대장암 3기 자료 분석 (Analysis of stage III proximal colon cancer using the Cox proportional hazards model)

  • 이태섭;이민정
    • Journal of the Korean Data and Information Science Society
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    • 제28권2호
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    • pp.349-359
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    • 2017
  • 본 논문에서는 미국 국립암연구소의 SEER 프로그램에서 제공하는 우측 대장암 3기 자료에 Cox 비례위험모형을 적합하여 생존분석을 하였다. 우측 대장암 3기 환자의 사망률에 유의한 영향을 미치는 공변량들을 파악하고, 관심있는 공변량들을 가진 환자의 생존율을 추정하였다. Schoenfeld 잔차를 기반한 검정과 Schoenfeld 잔차 도표, $log[-log\{{\hat{S}}(t)\}]$ 도표를 이용하여 분석에 사용된 공변량들이 비례위험 가정을 만족함을 확인하였다. 적합된 Cox 비례위험모형의 타당성을 검증하기 위해 10-fold 교차 검증을 이용하여 calibration 도표와 시간에 의존하는 ROC 곡선 아래 면적을 계산하였다. 이를 통해 적합된 Cox 비례위험모형의 타당성을 확인하였다.

만성 폐쇄성 폐질환을 이용한 노모그램 구축과 비교 (Comparison of nomogram construction methods using chronic obstructive pulmonary disease)

  • 서주현;이제영
    • 응용통계연구
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    • 제31권3호
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    • pp.329-342
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    • 2018
  • 노모그램은 질병의 위험 요인과 예측 확률을 쉽게 이해할 수 있도록 시각적으로 표현하는 통계적 도구이다. 본 논문은 만성 폐쇄성 폐질환(chronic obstructive pulmonary disease)의 위험 요인을 이용하여 로지스틱 회귀모형과 순수 베이지안 분류기 모형의 노모그램을 구축하고 이를 비교하였다. 분석 데이터는 국민건강영양조사 6기(2013-2015)를 이용하여 진행하였다. 총 6개의 위험 요인을 이용하였다. 그리고 로지스틱 회귀모형, 순수 베이지안 분류기 모형과 각각의 구축 방법을 이용하여 만성 폐쇄성 폐질환의 노모그램을 제시하였다. 또한, 구축된 두 노모그램을 비교하여 유용성을 살펴보았다. 마지막으로 ROC curve와 Calibration plot을 통하여 각 노모그램을 검증하였다.

A novel nomogram of naïve Bayesian model for prevalence of cardiovascular disease

  • Kang, Eun Jin;Kim, Hyun Ji;Lee, Jea Young
    • Communications for Statistical Applications and Methods
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    • 제25권3호
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    • pp.297-306
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    • 2018
  • Cardiovascular disease (CVD) is the leading cause of death worldwide and has a high mortality rate after onset; therefore, the CVD management requires the development of treatment plans and the prediction of prevalence rates. In our study, age, income, education level, marriage status, diabetes, and obesity were identified as risk factors for CVD. Using these 6 factors, we proposed a nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model for CVD. The attributes for each factor were assigned point values between -100 and 100 by Bayes' theorem, and the negative or positive attributes for CVD were represented to the values. Additionally, the prevalence rate can be calculated even in cases with some missing attribute values. A receiver operation characteristic (ROC) curve and calibration plot verified the nomogram. Consequently, when the attribute values for these risk factors are known, the prevalence rate for CVD can be predicted using the proposed nomogram based on a $na{\ddot{i}}ve$ Bayesian classifier model.

Identification of risk factors and development of the nomogram for delirium

  • Shin, Min-Seok;Jang, Ji-Eun;Lee, Jea-Young
    • Communications for Statistical Applications and Methods
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    • 제28권4호
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    • pp.339-350
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    • 2021
  • In medical research, the risk factors associated with human diseases need to be identified to predict the incidence rate and determine the treatment plan. Logistic regression analysis is primarily used in order to select risk factors. However, individuals who are unfamiliar with statistics outcomes have trouble using these methods. In this study, we develop a nomogram that graphically represents the numerical association between the disease and risk factors in order to identify the risk factors for delirium and to interpret and use the results more effectively. By using the logistic regression model, we identify risk factors related to delirium, construct a nomogram and predict incidence rates. Additionally, we verify the developed nomogram using a receiver operation characteristics (ROC) curve and calibration plot. Nursing home, stroke/epilepsy, metabolic abnormality, hemodynamic instability, and analgesics were selected as risk factors. The validation results of the nomogram, built with the factors of training set and the test set of the AUC showed a statistically significant determination of 0.893 and 0.717, respectively. As a result of drawing the calibration plot, the coefficient of determination was 0.820. By using the nomogram developed in this paper, health professionals can easily predict the incidence rate of delirium for individual patients. Based on this information, the nomogram could be used as a useful tool to establish an individual's treatment plan.

APPLICATION STUDY OF CHEMOINFOMETRICAL NEAR-INFRARED SPECTROSCOPY IN PHARMACEUTICAL INDUSTRY

  • Otsuka, Makoto;Kato, Fumie;Matsuda, Yoshihisa
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.2111-2111
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    • 2001
  • A chemoinfometrical method for evaluating the quantitative determination of crystallinity one polymorphs based on fourie-transformed near-infrared (FT-NIR) spectroscopy was established. A direct comparison of the data with the ones collected from using the and compared with the conventional powder X-ray diffraction method was performed. [Method] The pPure a and g forms of indomethacin (IMC) were prepared by reportedusing published methods. Six kinds of standard samples obtained by physically mixing of a and g forms. After the powder X-ray diffraction profiles of samples have been measured, the intensity values were normalized to against the intensity of silicon powder as the as an external standard. The calibration curves for quantification of crystal content were based upon the total relative intensity of four diffraction peaks from of the form g crystal. FT-NIR spectra of six calibration sample sets were recorded 5 times with the NIR spectrometer (BRAN+LUEBBE). Chemoinfometric analysis was performed on the NIR spectral data sets by applying the principal component regression (PCR). [Results] The relation between the actual and predicted polymorphic contents of form g IMC measured using by the X-ray diffraction method shows a good straight linen linear relation., and it has slope of 0.023, an intercept of 0.131 and a correlation coefficient of 0.986. PCR analyses wereis was performed based on normalized NIR spectra sets offer standard samples of known content of IMC g form. IMC. A calibration equation was determined to minimize the root mean square error of the predictionthe prediction. Figure 1 shows a plot of the calibration data obtained by NIR method between the actual and predicted contents of form g IMC. The predicted values were reproducible and had a smaller standard deviation. Figure 2 shows that the plot for the predicted transformation rate (%) of form a IMC to form g as measured by X-ray diffractomeoy against to those as measured by NIR method. The plot has a slope of 1.296, an intercept of 1,109, and a correlation coefficient of 0.992. The line represents a satisfactory correlation between the two predicted values of form g IMC content. Thus NIR spectroscopy is an effective method for the evaluation to the pharmaceutical products of quantitative of polymorph.

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아날로그-디지털 전달함수 평균화기법 기반의 Cyclic ADC의 디지털 보정 기법 (Digital Calibration Technique for Cyclic ADC based on Digital-Domain Averaging of A/D Transfer Functions)

  • 엄지용
    • 전자공학회논문지
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    • 제54권6호
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    • pp.30-39
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    • 2017
  • 본 논문은 디지털영역에서의 평균화 기법을 이용한 cyclic ADC의 디지털 보정기법을 제안한다. 제안하는 보정기법은 1.5비트 MDAC의 커패시터 부정합으로 인해 발생하는 ADC의 비선형성을 보정한다. 부정합을 지니는 커패시터로 이루어진 1.5비트 MDAC은 이상적인 1.5비트 MDAC의 레지듀 플롯(residue plot)에 대해 대칭적인 레지듀 플롯을 지닌다. 커패시터 부정합을 지니는 1.5비트 MDAC의 고유한 레지듀 플롯은 대칭적인 아날로그-디지털 전달함수로 반영된다. 이상적인 아날로그-디지털 전달함수에 대해 대칭적인 두 아날로그-디지털 전달함수를 평균화함으로써, 비선형성이 보정된 아날로그-디지털 전달함수를 얻을 수 있다. 해당 아날로그-디지털 전달함수 평균화의 구현을 위해, 본 논문의 12비트 cyclic ADC는 1.5비트 MDAC의 동작 모드를 2개로 정의한다. 해당 cyclic ADC는 MDAC을 첫 번째 동작모드로 동작시킴으로써, 비선형성을 지니는 12.5비트 출력 코드를 획득한다. 샘플링 된 동일한 입력 아날로그 전압에 대해, MDAC을 두 번째 동작모드로 동작시킴으로써, cyclic ADC는 비선형성을 지니는 또 다른 12.5비트 출력 코드를 획득한다. 각 MDAC의 동작모드에 의해 발생하는 아날로그-디지털 전달함수는 이상적인 아날로그-디지털 전달함수에 대해 대칭적이기 때문에, 앞서 획득한 두 개의 비선형성을 지니는 12.5비트를 평균화함으로써, 비선형성이 보정된 최종 12비트 출력 코드를 획득할 수 있다. 제안하는 디지털 보정기법과 12비트 cyclic ADC는 $0.18-{\mu}m$ CMOS 공정을 이용하여 full-custom 형식으로 구현되었다. 측정된 SNDR(ENOB)와 SFDR은 각각 65.3dB(10.6비트 ENOB)와 71.7dB이다. 측정된 INL과 DNL은 각각 -0.30/+0.33LSB와 -0.63/+0.56LSB이다.

모델링 기법을 이용한 밭의 볏짚 지표피복의 부유사량 저감효과 평가 방법 (Evaluation of Modeling Approach for Suspended Sediment Yield Reduction by Surface Cover Material using Rice Straw at Upland Field)

  • 박윤식;금동혁;이동준;최중대;임경재;김기성
    • 한국물환경학회지
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    • 제32권1호
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    • pp.108-114
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    • 2016
  • Sediment-laden water leads to water quality degradation in streams; therefore, best management practices must be implemented in the source area to control nonpoint source pollution. Field monitoring was implemented to measure precipitation, direct runoff, and sediment concentrations at a control plot and straw-applied plot to examine the effect on sediment reduction in this study. A hydrology model, which employs Curve Number (CN) to estimate direct runoff and the Universal Soil Loss Equation to estimate soil loss, was selected. Twenty-five storm events from October 2010 to July 2012 were observed at the control plot, and 14 storm events from April 2011 to July 2011 at the straw-applied plot. CN was calibrated for direct runoff, and the Nash-Sutcliffe efficiency and coefficient of determination were 0.66 and 0.68 at the control plot. Direct runoff at the straw-applied plot was calibrated using the percentage direct runoff reduction. The estimated reduction in sediment load by direct runoff reduction calibration alone was acceptable. Therefore, direct runoff-sediment load behaviors in a hydrology model should be considered to estimate sediment load and the reduction thereof.

표준 마이크로폰 감도 교정을 위한 진동막의 모달 파라미터 측정 (Modal Parameter Estimation of Membrane for Standard Microphone Sensitivity Calibration)

  • 권휴상;서상준;서재갑;박준홍
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 춘계학술대회논문집
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    • pp.298-302
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    • 2002
  • Equivalent volume estimation of the coupler and two coupled microphones has a key role in standard microphone pressure calibration. The equivalent volume of the microphone is determined by the dynamic characteristics of the diaphragm system and front cavity. Therefore the modal parameters of diaphragm system - natural frequency and damping fatter - should be measured explicitly for the estimation of the equivalent volume. The diaphragm system is composed of the vibrating diaphragm, back slit behind diaphragm, pressure equalization vent, and front cavity which are acoustically coupled. In the measurement, the electrostatic actuator was used to excite the system with the swept sine, and the frequency response was obtained. The close actuator in front of the diaphragm must influence the radiation impedance of the system, and then the modal parameters. From the measured frequency response, the natural frequency and the damping factor could be estimated with the Complex exponential method based on the Prony model and the zero crossing real and imaginary plot.

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